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2007
136views Robotics» more  RSS 2007»
13 years 11 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...
BMCBI
2004
208views more  BMCBI 2004»
13 years 9 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
BROADNETS
2006
IEEE
14 years 1 months ago
Wavelength Assignment in Optical Networks with Imprecise Network State Information
Efficient routing and wavelength assignment (RWA) in wavelength-routed all-optical networks is critical for achieving high efficiency over the backbone links. Extensive research ha...
Satyajeet Ahuja, Marwan Krunz, Srinivasan Ramasubr...
ISCAS
2003
IEEE
78views Hardware» more  ISCAS 2003»
14 years 3 months ago
History-based memory mode prediction for improving memory performance
To increase the bandwidth of synchronous memories that are widely adopted for high performance memory systems, a predictive mode control scheme is proposed to reduce memory latenc...
Seong-Il Park, In-Cheol Park
CONNECTION
2006
117views more  CONNECTION 2006»
13 years 10 months ago
Bootstrap learning of foundational representations
To be autonomous, intelligent robots must learn the foundations of commonsense knowledge from their own sensorimotor experience in the world. We describe four recent research resu...
Benjamin Kuipers, Patrick Beeson, Joseph Modayil, ...